Claims

Help-seeking models transfer above chance across sites but perform poorly on the Costa Rican data

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2015 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? In ten of 12 cross-site applications the model's predicted learning correlated positively with actual learning (sign test two-tailed p=0.04), but the U.S. model correlated negatively with learning on the Costa Rica data. → Amy Ogan 2015

Evidence

Amy Ogan 2015

Amy Ogan, Erin Walker, Ryan Baker, Ma. Mercedes T. Rodrigo, Jose Carlo Soriano, Maynor Jimenez Castro. (2015). Towards Understanding How to Assess Help-Seeking Behavior Across Cultures. Int J Artif Intell Educ 25. https://doi.org/10.1007/s40593-014-0034-8

q2 · i? · associational · r1

Cross-cultural evaluation applying each site's model to the other three full datasets (non-cross-validated correlations, Table 4); a sign test indicated "two-tailed p=0.04".

"In ten out of the 12 cases where a model is applied to the full data set from a site, the correlation between the model’s predicted learning and the actual learning was positive, suggesting successful transfer of these models."

Discussion

Page metadata
Field Value
type claim
id help-seeking-model-transfer-mixed
title Help-seeking models transfer above chance across sites but perform poorly on the Costa Rican data
description Help-seeking models transfer above chance across sites but perform poorly on the Costa Rican data
status review
evidence_strength mixed
newest_evidence 2015
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 1 — amy-ogan-2015

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